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市場調查報告書

商品編碼

1620556

自然語言理解市場機會、成長促進因素、產業趨勢分析與預測 2024 - 2032 年

Natural Language Understanding Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年10月18日 | 出版商:

Global Market Insights Inc. | 英文 175 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，全球自然語言理解市場估值為 193 億美元，預計 2024 年至 2032 年複合年成長率為 20.1%。這種成長主要是由人工智慧驅動的解決方案在各個領域的日益整合所推動，對改善客戶體驗的需求以及對高效資料分析的日益成長的需求。市場可以分為兩個主要組成部分：解決方案和服務。 2023 年，解決方案領域的銷售額將超過 160 億美元。對聊天機器人、虛擬助理和文字分析工具等 NLU 增強型應用程式的需求激增是推動這一成長的關鍵因素。

這些複雜的解決方案利用深度學習和變壓器模型等先進技術來有效分析和解釋不同背景下的人類語言。透過提供意圖識別、實體提取和情緒分析等功能，這些工具使組織能夠自動化客戶互動、增強決策流程並從非結構化文字資料中提取有價值的見解。部署模式是 NLU 市場的另一個重要方面，提供基於雲端和本地的選項。預計 2024 年至 2032 年間，基於雲端的細分市場的複合年成長率將超過 18%。

基於雲端的部署具有多種優勢，包括降低前期成本、無縫可擴展性以及無需大量基礎設施投資即可存取高級 NLU 功能。這種靈活性使組織能夠快速實施 NLU 技術，並隨著創新的出現輕鬆更新它們。此外，基於雲端的 NLU 與其他雲端技術（例如資料分析和機器學習平台）的結合提高了其整體價值，使其成為各種規模企業的有吸引力的選擇。北美在 NLU 市場處於領先地位，到 2023 年將佔據超過 35% 的顯著佔有率。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	193 億美元
預測值	998 億美元
複合年成長率	20.1%

大量的研發投資，加上人工智慧技術的早期採用，使美國成為自然語言處理創新領域的領導者。此外，各行業對改善客戶體驗和自動化業務流程的日益重視，正在加速 NLU 解決方案在全國範圍內的採用。

產業生態系統分析
供應商格局
- 軟體供應商
- 服務提供者
- 配銷通路
- 最終用戶
利潤率分析
技術與創新格局
專利分析
案例研究
NLP、NLU、NLG 的比較分析
監管環境
衝擊力
- 成長動力
  - 越來越多採用人工智慧驅動的解決方案
  - 對增強客戶體驗的需求不斷成長
  - 對高效資料分析的需求不斷成長
  - 機器學習和大型語言模型的進步
- 產業陷阱與挑戰
  - 資料隱私和安全問題
  - 缺乏 NLU 技術熟練的專業人員
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
解決方案
- 軟體
- 平台
服務
- 諮詢服務
- 實施與整合
- 培訓與支援

第 6 章：市場估計與預測：依部署模式，2021 - 2032 年

主要趨勢
基於雲端
本地

第 7 章：市場估計與預測：依組織規模，2021 - 2032 年

主要趨勢
中小企業
大型企業

第 8 章：市場估計與預測：依技術分類，2021 - 2032

主要趨勢
統計
基於規則的
混合

第 9 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
虛擬助理
客戶體驗管理
情緒分析
資訊擷取
問答系統
其他

第 10 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
BFSI
衛生保健
零售與電子商務
電信
資訊科技與電信
汽車
政府
其他

第 11 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 澳洲
- 韓國
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 12 章：公司簡介

Alibaba Cloud
Amazon Web Services
Apple
Baidu
Cerebras Systems
Cloudera
Cognitivescale
Google
Hugging Face
IBM
Infosys Limited
Meta Platforms (Facebook)
Microsoft Azure
Nuance Communications
OpenAI
Oracle
Salesforce
SAP SE
SAS Institute
Tata Consultancy Services

簡介目錄

Product Code: 11898

The Global Natural Language Understanding Market was valued at USD 19.3 billion in 2023 and is projected to grow at a CAGR of 20.1% from 2024 to 2032. This growth is largely driven by the increasing integration of AI-powered solutions across various sectors, a heightened demand for improved customer experiences, and a growing necessity for efficient data analysis. The market can be segmented into two main components: solutions and services. In 2023, the solutions segment accounted for over USD 16 billion. The surge in demand for NLU-enhanced applications, such as chatbots, virtual assistants, and text analytics tools, is a key factor contributing to this growth.

These sophisticated solutions utilize advanced technologies like deep learning and transformer models to effectively analyze and interpret human language in diverse contexts. By providing functionalities such as intent recognition, entity extraction, and sentiment analysis, these tools empower organizations to automate customer interactions, enhance decision-making processes, and extract valuable insights from unstructured text data. Deployment mode is another critical aspect of the NLU market, with cloud-based and on-premises options available. The cloud-based segment is expected to experience a CAGR of over 18% between 2024 and 2032. The rapid adoption of cloud computing, along with the increasing demand for scalable and flexible NLU solutions, is propelling this trend.

Cloud-based deployment offers multiple advantages, including reduced upfront costs, seamless scalability, and access to advanced NLU capabilities without substantial infrastructure investments. This flexibility allows organizations to implement NLU technologies quickly and update them easily as innovations emerge. Additionally, the incorporation of cloud-based NLU with other cloud technologies, such as data analytics and ML platforms, improves their overall value, making them an appealing choice for businesses of all sizes. North America leads the NLU market, capturing a significant share of over 35% in 2023. The region is experiencing notable growth, driven by the presence of major technology firms and a dynamic startup ecosystem.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$19.3 Billion
Forecast Value	$99.8 Billion
CAGR	20.1%

Substantial investments in research and development, combined with early adoption of AI technologies, have established the U.S. as a leader in NLU innovation. Furthermore, an increasing emphasis on improving customer experiences and automating business processes across various sectors is accelerating the adoption of NLU solutions throughout the country.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates & calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope & definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Software providers
- 3.2.2 Service providers
- 3.2.3 Distribution channel
- 3.2.4 End users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Case study
3.7 Comparative analysis of NLP, NLU, and NLG
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increasing adoption of AI-powered solutions
  - 3.9.1.2 Growing demand for enhanced customer experience
  - 3.9.1.3 Rising need for efficient data analysis
  - 3.9.1.4 Advancements in machine learning and large language models
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Data privacy and security concerns
  - 3.9.2.2 Lack of skilled professionals in NLU technologies
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Solution
- 5.2.1 Software
- 5.2.2 Platform
5.3 Service
- 5.3.1 Consulting services
- 5.3.2 Implementation & integration
- 5.3.3 Training & support

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Cloud-based
6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 SME
7.3 Large enterprise

Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Statistical
8.3 Rule-based
8.4 Hybrid

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Virtual assistants
9.3 Customer experience management
9.4 Sentiment analysis
9.5 Information extraction
9.6 Question answering systems
9.7 Others

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 BFSI
10.3 Healthcare
10.4 Retail & e-commerce
10.5 Telecommunications
10.6 IT & telecom
10.7 Automotive
10.8 Government
10.9 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

11.1 Key trends
11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Italy
- 11.3.5 Spain
- 11.3.6 Russia
- 11.3.7 Nordics
11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 Australia
- 11.4.5 South Korea
- 11.4.6 Southeast Asia
11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Argentina
11.6 MEA
- 11.6.1 UAE
- 11.6.2 South Africa
- 11.6.3 Saudi Arabia